Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints

28 January 2022

Papers citing "Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints"

9 / 9 papers shown

Title
Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization Francesco Emanuele Stradi Matteo Castiglioni A. Marchesi Nicola Gatti 18 1 0 03 Oct 2024
Pausing Policy Learning in Non-stationary Reinforcement Learning Hyunin Lee Ming Jin Javad Lavaei Somayeh Sojoudi OffRL 37 2 0 25 May 2024
Learning Adversarial MDPs with Stochastic Hard Constraints Francesco Emanuele Stradi Matteo Castiglioni A. Marchesi Nicola Gatti 26 4 0 06 Mar 2024
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning Yi-Fan Yao Zuxin Liu Zhepeng Cen Peide Huang Tingnan Zhang Wenhao Yu Ding Zhao OffRL 71 6 0 23 Dec 2023
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning Yi-Fan Yao Zuxin Liu Zhepeng Cen Jiacheng Zhu Wenhao Yu Tingnan Zhang Ding Zhao OffRL 28 12 0 05 Oct 2023
Provably Efficient Model-Free Constrained RL with Linear Function Approximation A. Ghosh Xingyu Zhou Ness B. Shroff 64 23 0 23 Jun 2022
Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments Liyu Chen Haipeng Luo 33 8 0 25 May 2022
Efficient Learning in Non-Stationary Linear Markov Decision Processes Ahmed Touati Pascal Vincent 37 29 0 24 Oct 2020
Nonstationary Reinforcement Learning with Linear Function Approximation Huozhi Zhou Jinglin Chen L. Varshney A. Jagmohan 44 30 0 08 Oct 2020